We investigate how disruptions propagate across interconnected infrastructure, supply chains, economies, and communities, and turn this understanding into practical strategies for resilience.
We study how local disruptions spread through infrastructure, supply chains, and broad socioeconomic systems, and identify the nodes that amplify systemic risk.
We map dependencies among transport, energy, water, communications, and supply-chain systems to analyze disruptions, bottlenecks, and substitution pathways.
We explore machine learning, knowledge graphs, and language models for risk identification, evidence extraction, scenario generation, and decision support.
We study exposure, vulnerability, adaptation capacity, and long-term resilience investments under flood, heat, storm surge, and other climate risks.
We assess the direct and indirect effects of disasters and compound shocks on industries, cities, and regional economies, and simulate recovery pathways.
We build maintainable, citable, and traceable data products to support risk research, model development, and policy assessment.
